Ab initio molecular dynamics simulations on the adsorption of 1-hydroxyethane-1,1-diphosphonic acid on the iron (100) surface
Xiaoyang Zhao,
Bin Liu,
Jianhua Li
et al.
Abstract:Ab initio molecular dynamics (AIMD) simulations were performed to study the adsorption of 1-hydroxyethane-1,1-diphosphonic acid (HEDP) molecule on Fe (100) surface. Through molecular dynamics trajectory, changes in bond length and...
“…The protonated O atom was less likely to adsorb on the Fe 3 O 4 (111) surface because its electronegativity was lower than those of the deprotonated O atoms. 53 As the HEDP molecule moved on the Fe 3 O 4 (111) surface, the four deprotonated O atoms moved towards the regions where the iron atoms were concentrated. Despite the changing adsorption configurations along the trajectory, a relatively stable adsorption state was formed, as shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The protonated O atom was less likely to adsorb on the Fe 3 O 4 (111) surface because its electronegativity was lower than those of the deprotonated O atoms. 53…”
Using the ab initio molecular metadynamics method, the structure of 1-hydroxyethane-1,1-diphosphonic acid (HEDP) adsorbed on the Fe3O4 surface and subsequent detachment of Fe atoms from the surface were simulated, and...
“…The protonated O atom was less likely to adsorb on the Fe 3 O 4 (111) surface because its electronegativity was lower than those of the deprotonated O atoms. 53 As the HEDP molecule moved on the Fe 3 O 4 (111) surface, the four deprotonated O atoms moved towards the regions where the iron atoms were concentrated. Despite the changing adsorption configurations along the trajectory, a relatively stable adsorption state was formed, as shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The protonated O atom was less likely to adsorb on the Fe 3 O 4 (111) surface because its electronegativity was lower than those of the deprotonated O atoms. 53…”
Using the ab initio molecular metadynamics method, the structure of 1-hydroxyethane-1,1-diphosphonic acid (HEDP) adsorbed on the Fe3O4 surface and subsequent detachment of Fe atoms from the surface were simulated, and...
“…The atom-atom interaction potentials in MD simulation can be written either through empirical functions (e.g., Lennard-Jones potentials in classical all-atom MD) or through density functional theory (ab initio MD (AIMD) [24]). The latter methods typically provide a better picture of electronic density distribution across the interface because they do not rely on empirical parameterisations and have proven to be useful for understanding the adsorption of small biomolecules at atomically smooth crystalline materials [25][26][27], but the computational modelling of entire protein adsorption or adsorption to polymeric nanomaterials or those with irregular surfaces is not generally feasible with the AIMD approach. For more complex interfacial adsorption systems, classical Monte Carlo or MD simulations can be more useful, provided that all interactions are properly modelled and the conformational space is adequately explored (see review [28] and references therein).…”
The interface between inorganic and biological materials plays a crucial role in vital technological applications ranging from food processing and cosmetics to medicine but presents enormous technical challenges for computational modellers. These challenges stem from both conceptual and technical roots: the length- and timescale gaps between the essential interactions and the properties of interest and the differences between the models of inorganic and biological materials. Research efforts of the last decade have led to significant advances in computational modelling of the bionano interface and allowed the construction of quantitative predictive models for both the structure of this interface and material functionalities based on descriptors obtained from the interface. In this work, we discuss advances in the field of bionano interface modelling and outline the directions of its further development.
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